{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TA-Lib\n",
    "下载地址：http://www.lfd.uci.edu/~gohlke/pythonlibs/#ta-lib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import talib\n",
    "import tushare as ts\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 移动平均线指标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               open    close     high      low       volume   code  \\\n",
      "date                                                                 \n",
      "2017-01-03  3313.95  3342.23  3345.26  3313.95   86567896.0  hs300   \n",
      "2017-01-04  3340.56  3368.31  3369.57  3338.15   90050827.0  hs300   \n",
      "2017-01-05  3368.34  3367.79  3373.41  3361.46   88336357.0  hs300   \n",
      "2017-01-06  3366.85  3347.67  3368.87  3346.89   87459114.0  hs300   \n",
      "2017-01-09  3345.75  3363.90  3366.22  3344.35   83707942.0  hs300   \n",
      "2017-01-10  3361.64  3358.27  3370.51  3354.09   83819160.0  hs300   \n",
      "2017-01-11  3355.80  3334.50  3366.63  3334.30   91071438.0  hs300   \n",
      "2017-01-12  3332.69  3317.62  3343.13  3315.96   81239135.0  hs300   \n",
      "2017-01-13  3317.96  3319.91  3338.17  3309.37   84180589.0  hs300   \n",
      "2017-01-16  3314.15  3319.45  3322.78  3264.21  157779135.0  hs300   \n",
      "2017-01-17  3305.60  3326.36  3327.38  3292.20   69453328.0  hs300   \n",
      "2017-01-18  3323.34  3339.37  3350.96  3320.41   70623227.0  hs300   \n",
      "2017-01-19  3330.95  3329.29  3346.50  3324.68   66159808.0  hs300   \n",
      "2017-01-20  3326.98  3354.89  3358.41  3326.37   65300462.0  hs300   \n",
      "2017-01-23  3359.05  3364.08  3378.74  3355.85   75557498.0  hs300   \n",
      "2017-01-24  3363.14  3364.45  3371.32  3355.90   66194226.0  hs300   \n",
      "2017-01-25  3361.66  3375.90  3376.44  3357.22   58376931.0  hs300   \n",
      "2017-01-26  3378.26  3387.96  3395.88  3378.26   65316647.0  hs300   \n",
      "2017-02-03  3390.93  3364.49  3392.48  3362.57   55188861.0  hs300   \n",
      "2017-02-06  3368.11  3373.21  3381.33  3358.75   68521360.0  hs300   \n",
      "2017-02-07  3371.77  3365.68  3376.71  3354.62   63754462.0  hs300   \n",
      "2017-02-08  3361.78  3383.29  3383.69  3347.43   75402879.0  hs300   \n",
      "2017-02-09  3381.90  3396.29  3406.59  3379.79   97558515.0  hs300   \n",
      "2017-02-10  3398.32  3413.49  3422.33  3398.03  123768720.0  hs300   \n",
      "2017-02-13  3416.92  3436.27  3439.54  3416.87  120144538.0  hs300   \n",
      "2017-02-14  3438.51  3435.80  3440.67  3424.40   94809465.0  hs300   \n",
      "2017-02-15  3435.39  3421.71  3448.03  3417.08  127643338.0  hs300   \n",
      "2017-02-16  3421.83  3440.93  3440.93  3418.35  108276962.0  hs300   \n",
      "2017-02-17  3443.62  3421.44  3457.56  3419.61  114600036.0  hs300   \n",
      "2017-02-20  3421.64  3471.39  3472.60  3421.64  132628862.0  hs300   \n",
      "2017-02-21  3475.06  3482.82  3490.09  3472.02  114842009.0  hs300   \n",
      "2017-02-22  3483.20  3489.76  3489.95  3473.52  102815994.0  hs300   \n",
      "2017-02-23  3487.57  3473.32  3492.96  3460.12   99536330.0  hs300   \n",
      "2017-02-24  3468.96  3473.85  3473.85  3455.25   95535133.0  hs300   \n",
      "2017-02-27  3471.13  3446.22  3472.84  3441.39   98672160.0  hs300   \n",
      "2017-02-28  3445.03  3452.81  3460.91  3441.36   75215260.0  hs300   \n",
      "2017-03-01  3452.21  3458.44  3472.70  3449.11  103260354.0  hs300   \n",
      "2017-03-02  3463.48  3435.10  3468.47  3434.00   89898077.0  hs300   \n",
      "2017-03-03  3424.66  3427.86  3428.88  3412.83   80994652.0  hs300   \n",
      "2017-03-06  3427.25  3446.48  3449.03  3425.90   83070882.0  hs300   \n",
      "2017-03-07  3446.16  3453.96  3454.04  3440.06   80334720.0  hs300   \n",
      "2017-03-08  3452.20  3448.73  3457.04  3441.26   79587690.0  hs300   \n",
      "2017-03-09  3442.90  3426.94  3443.05  3414.68   84570381.0  hs300   \n",
      "2017-03-10  3423.98  3427.89  3436.24  3423.94   70016199.0  hs300   \n",
      "2017-03-13  3425.67  3458.10  3458.10  3412.69   91684124.0  hs300   \n",
      "2017-03-14  3456.66  3456.69  3465.39  3448.90   77077963.0  hs300   \n",
      "2017-03-15  3452.21  3463.64  3463.92  3445.27   79104954.0  hs300   \n",
      "2017-03-16  3472.27  3481.51  3492.13  3472.27  106333913.0  hs300   \n",
      "2017-03-17  3485.31  3445.81  3488.50  3441.47  103755560.0  hs300   \n",
      "2017-03-20  3449.05  3449.61  3454.06  3429.83   88734322.0  hs300   \n",
      "\n",
      "                 sma_30    sma_10  \n",
      "date                               \n",
      "2017-01-03          NaN       NaN  \n",
      "2017-01-04          NaN       NaN  \n",
      "2017-01-05          NaN       NaN  \n",
      "2017-01-06          NaN       NaN  \n",
      "2017-01-09          NaN       NaN  \n",
      "2017-01-10          NaN       NaN  \n",
      "2017-01-11          NaN       NaN  \n",
      "2017-01-12          NaN       NaN  \n",
      "2017-01-13          NaN       NaN  \n",
      "2017-01-16          NaN  3343.965  \n",
      "2017-01-17          NaN  3342.378  \n",
      "2017-01-18          NaN  3339.484  \n",
      "2017-01-19          NaN  3335.634  \n",
      "2017-01-20          NaN  3336.356  \n",
      "2017-01-23          NaN  3336.374  \n",
      "2017-01-24          NaN  3336.992  \n",
      "2017-01-25          NaN  3341.132  \n",
      "2017-01-26          NaN  3348.166  \n",
      "2017-02-03          NaN  3352.624  \n",
      "2017-02-06          NaN  3358.000  \n",
      "2017-02-07          NaN  3361.932  \n",
      "2017-02-08          NaN  3366.324  \n",
      "2017-02-09          NaN  3373.024  \n",
      "2017-02-10          NaN  3378.884  \n",
      "2017-02-13          NaN  3386.103  \n",
      "2017-02-14          NaN  3393.238  \n",
      "2017-02-15          NaN  3397.819  \n",
      "2017-02-16          NaN  3403.116  \n",
      "2017-02-17          NaN  3408.811  \n",
      "2017-02-20  3373.531333  3418.629  \n",
      "2017-02-21  3378.217667  3430.343  \n",
      "2017-02-22  3382.266000  3440.990  \n",
      "2017-02-23  3385.783667  3448.693  \n",
      "2017-02-24  3389.989667  3454.729  \n",
      "2017-02-27  3392.733667  3455.724  \n",
      "2017-02-28  3395.885000  3457.425  \n",
      "2017-03-01  3400.016333  3461.098  \n",
      "2017-03-02  3403.932333  3460.515  \n",
      "2017-03-03  3407.530667  3461.157  \n",
      "2017-03-06  3411.765000  3458.666  \n",
      "2017-03-07  3416.018333  3455.780  \n",
      "2017-03-08  3419.663667  3451.677  \n",
      "2017-03-09  3422.918667  3447.039  \n",
      "2017-03-10  3425.352000  3442.443  \n",
      "2017-03-13  3428.486000  3443.631  \n",
      "2017-03-14  3431.560667  3444.019  \n",
      "2017-03-15  3434.485333  3444.539  \n",
      "2017-03-16  3437.603667  3449.180  \n",
      "2017-03-17  3440.314333  3450.975  \n",
      "2017-03-20  3442.861000  3451.288  \n"
     ]
    }
   ],
   "source": [
    "hist_data = ts.get_k_data('hs300', '2017-01-01', '2017-06-01')\n",
    "hist_data['date'] = pd.to_datetime(hist_data['date'])\n",
    "hist_data.set_index('date', inplace=True)\n",
    "\n",
    "hist_data['sma_30'] = talib.SMA(hist_data['close'].values)\n",
    "hist_data['sma_10'] = talib.SMA(hist_data['close'].values, timeperiod=10)\n",
    "\n",
    "print(hist_data.head(50))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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7Y0yjFzNmzGD+/PkkJyfj4eHBpUuX0Ol0mJqaotPpuHz5Mh4eHqxZs4YPP/wQgEWLFt1U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\nFpKF514AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb800940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9, 5))\n",
    "plt.plot(hist_data['close'], lw=1, label='Prices')\n",
    "plt.plot(hist_data['sma_30'], 'g', lw=1, label='30-day MA (green)')\n",
    "plt.plot(hist_data['sma_10'], 'r', lw=1, label='10-day EWMA (red)')\n",
    "plt.legend(loc=2, prop={'size': 11})\n",
    "plt.grid(True)\n",
    "plt.setp(plt.gca().get_xticklabels(), rotation=30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 布林线指标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               open    close     high      low       volume   code  \\\n",
      "date                                                                 \n",
      "2017-01-03  3313.95  3342.23  3345.26  3313.95   86567896.0  hs300   \n",
      "2017-01-04  3340.56  3368.31  3369.57  3338.15   90050827.0  hs300   \n",
      "2017-01-05  3368.34  3367.79  3373.41  3361.46   88336357.0  hs300   \n",
      "2017-01-06  3366.85  3347.67  3368.87  3346.89   87459114.0  hs300   \n",
      "2017-01-09  3345.75  3363.90  3366.22  3344.35   83707942.0  hs300   \n",
      "2017-01-10  3361.64  3358.27  3370.51  3354.09   83819160.0  hs300   \n",
      "2017-01-11  3355.80  3334.50  3366.63  3334.30   91071438.0  hs300   \n",
      "2017-01-12  3332.69  3317.62  3343.13  3315.96   81239135.0  hs300   \n",
      "2017-01-13  3317.96  3319.91  3338.17  3309.37   84180589.0  hs300   \n",
      "2017-01-16  3314.15  3319.45  3322.78  3264.21  157779135.0  hs300   \n",
      "2017-01-17  3305.60  3326.36  3327.38  3292.20   69453328.0  hs300   \n",
      "2017-01-18  3323.34  3339.37  3350.96  3320.41   70623227.0  hs300   \n",
      "2017-01-19  3330.95  3329.29  3346.50  3324.68   66159808.0  hs300   \n",
      "2017-01-20  3326.98  3354.89  3358.41  3326.37   65300462.0  hs300   \n",
      "2017-01-23  3359.05  3364.08  3378.74  3355.85   75557498.0  hs300   \n",
      "2017-01-24  3363.14  3364.45  3371.32  3355.90   66194226.0  hs300   \n",
      "2017-01-25  3361.66  3375.90  3376.44  3357.22   58376931.0  hs300   \n",
      "2017-01-26  3378.26  3387.96  3395.88  3378.26   65316647.0  hs300   \n",
      "2017-02-03  3390.93  3364.49  3392.48  3362.57   55188861.0  hs300   \n",
      "2017-02-06  3368.11  3373.21  3381.33  3358.75   68521360.0  hs300   \n",
      "2017-02-07  3371.77  3365.68  3376.71  3354.62   63754462.0  hs300   \n",
      "2017-02-08  3361.78  3383.29  3383.69  3347.43   75402879.0  hs300   \n",
      "2017-02-09  3381.90  3396.29  3406.59  3379.79   97558515.0  hs300   \n",
      "2017-02-10  3398.32  3413.49  3422.33  3398.03  123768720.0  hs300   \n",
      "2017-02-13  3416.92  3436.27  3439.54  3416.87  120144538.0  hs300   \n",
      "2017-02-14  3438.51  3435.80  3440.67  3424.40   94809465.0  hs300   \n",
      "2017-02-15  3435.39  3421.71  3448.03  3417.08  127643338.0  hs300   \n",
      "2017-02-16  3421.83  3440.93  3440.93  3418.35  108276962.0  hs300   \n",
      "2017-02-17  3443.62  3421.44  3457.56  3419.61  114600036.0  hs300   \n",
      "2017-02-20  3421.64  3471.39  3472.60  3421.64  132628862.0  hs300   \n",
      "2017-02-21  3475.06  3482.82  3490.09  3472.02  114842009.0  hs300   \n",
      "2017-02-22  3483.20  3489.76  3489.95  3473.52  102815994.0  hs300   \n",
      "2017-02-23  3487.57  3473.32  3492.96  3460.12   99536330.0  hs300   \n",
      "2017-02-24  3468.96  3473.85  3473.85  3455.25   95535133.0  hs300   \n",
      "2017-02-27  3471.13  3446.22  3472.84  3441.39   98672160.0  hs300   \n",
      "2017-02-28  3445.03  3452.81  3460.91  3441.36   75215260.0  hs300   \n",
      "2017-03-01  3452.21  3458.44  3472.70  3449.11  103260354.0  hs300   \n",
      "2017-03-02  3463.48  3435.10  3468.47  3434.00   89898077.0  hs300   \n",
      "2017-03-03  3424.66  3427.86  3428.88  3412.83   80994652.0  hs300   \n",
      "2017-03-06  3427.25  3446.48  3449.03  3425.90   83070882.0  hs300   \n",
      "2017-03-07  3446.16  3453.96  3454.04  3440.06   80334720.0  hs300   \n",
      "2017-03-08  3452.20  3448.73  3457.04  3441.26   79587690.0  hs300   \n",
      "2017-03-09  3442.90  3426.94  3443.05  3414.68   84570381.0  hs300   \n",
      "2017-03-10  3423.98  3427.89  3436.24  3423.94   70016199.0  hs300   \n",
      "2017-03-13  3425.67  3458.10  3458.10  3412.69   91684124.0  hs300   \n",
      "2017-03-14  3456.66  3456.69  3465.39  3448.90   77077963.0  hs300   \n",
      "2017-03-15  3452.21  3463.64  3463.92  3445.27   79104954.0  hs300   \n",
      "2017-03-16  3472.27  3481.51  3492.13  3472.27  106333913.0  hs300   \n",
      "2017-03-17  3485.31  3445.81  3488.50  3441.47  103755560.0  hs300   \n",
      "2017-03-20  3449.05  3449.61  3454.06  3429.83   88734322.0  hs300   \n",
      "\n",
      "                 sma_30    sma_10     BB_upper    BB_middle     BB_lower  \n",
      "date                                                                      \n",
      "2017-01-03          NaN       NaN          NaN          NaN          NaN  \n",
      "2017-01-04          NaN       NaN          NaN          NaN          NaN  \n",
      "2017-01-05          NaN       NaN          NaN          NaN          NaN  \n",
      "2017-01-06          NaN       NaN          NaN          NaN          NaN  \n",
      "2017-01-09          NaN       NaN          NaN          NaN          NaN  \n",
      "2017-01-10          NaN       NaN          NaN          NaN          NaN  \n",
      "2017-01-11          NaN       NaN          NaN          NaN          NaN  \n",
      "2017-01-12          NaN       NaN          NaN          NaN          NaN  \n",
      "2017-01-13          NaN       NaN          NaN          NaN          NaN  \n",
      "2017-01-16          NaN  3343.965          NaN          NaN          NaN  \n",
      "2017-01-17          NaN  3342.378          NaN          NaN          NaN  \n",
      "2017-01-18          NaN  3339.484          NaN          NaN          NaN  \n",
      "2017-01-19          NaN  3335.634          NaN          NaN          NaN  \n",
      "2017-01-20          NaN  3336.356          NaN          NaN          NaN  \n",
      "2017-01-23          NaN  3336.374          NaN          NaN          NaN  \n",
      "2017-01-24          NaN  3336.992          NaN          NaN          NaN  \n",
      "2017-01-25          NaN  3341.132          NaN          NaN          NaN  \n",
      "2017-01-26          NaN  3348.166          NaN          NaN          NaN  \n",
      "2017-02-03          NaN  3352.624          NaN          NaN          NaN  \n",
      "2017-02-06          NaN  3358.000          NaN          NaN          NaN  \n",
      "2017-02-07          NaN  3361.932          NaN          NaN          NaN  \n",
      "2017-02-08          NaN  3366.324          NaN          NaN          NaN  \n",
      "2017-02-09          NaN  3373.024          NaN          NaN          NaN  \n",
      "2017-02-10          NaN  3378.884          NaN          NaN          NaN  \n",
      "2017-02-13          NaN  3386.103  3445.898603  3397.208698  3348.518793  \n",
      "2017-02-14          NaN  3393.238  3451.510691  3409.335084  3367.159477  \n",
      "2017-02-15          NaN  3397.819  3448.667598  3418.743876  3388.820153  \n",
      "2017-02-16          NaN  3403.116  3447.625249  3426.974361  3406.323472  \n",
      "2017-02-17          NaN  3408.811  3447.746353  3431.575985  3415.405617  \n",
      "2017-02-20  3373.531333  3418.629  3475.340621  3438.815648  3402.290674  \n",
      "2017-02-21  3378.217667  3430.343  3499.948083  3449.308002  3398.667921  \n",
      "2017-02-22  3382.266000  3440.990  3513.475281  3461.485732  3409.496184  \n",
      "2017-02-23  3385.783667  3448.693  3519.260476  3471.090481  3422.920486  \n",
      "2017-02-24  3389.989667  3454.729  3491.289467  3477.315575  3463.341683  \n",
      "2017-02-27  3392.733667  3455.724  3506.988043  3477.388920  3447.789797  \n",
      "2017-02-28  3395.885000  3457.425  3505.391869  3473.922994  3442.454118  \n",
      "2017-03-01  3400.016333  3461.098  3491.834616  3469.762786  3447.690957  \n",
      "2017-03-02  3403.932333  3460.515  3489.127881  3463.354603  3437.581325  \n",
      "2017-03-03  3407.530667  3461.157  3477.538292  3455.075332  3432.612372  \n",
      "2017-03-06  3411.765000  3458.666  3471.238856  3448.755182  3426.271508  \n",
      "2017-03-07  3416.018333  3455.780  3468.704338  3445.850050  3422.995762  \n",
      "2017-03-08  3419.663667  3451.677  3464.036210  3444.956438  3425.876666  \n",
      "2017-03-09  3422.918667  3447.039  3464.974332  3442.562265  3420.150198  \n",
      "2017-03-10  3425.352000  3442.443  3461.388413  3438.990188  3416.591964  \n",
      "2017-03-13  3428.486000  3443.631  3465.040339  3438.702180  3412.364020  \n",
      "2017-03-14  3431.560667  3444.019  3468.418417  3441.109075  3413.799733  \n",
      "2017-03-15  3434.485333  3444.539  3477.359411  3445.597977  3413.836542  \n",
      "2017-03-16  3437.603667  3449.180  3487.400836  3452.853174  3418.305513  \n",
      "2017-03-17  3440.314333  3450.975  3480.384270  3456.970779  3433.557289  \n",
      "2017-03-20  3442.861000  3451.288  3483.323021  3458.108859  3432.894696  \n"
     ]
    }
   ],
   "source": [
    "upper, middle, lower = talib.BBANDS(hist_data['close'].values, matype=talib.MA_Type.T3)\n",
    "hist_data['BB_upper'] = upper\n",
    "hist_data['BB_middle'] = middle\n",
    "hist_data['BB_lower'] = lower\n",
    "print(hist_data.head(50))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hwoV06tQJb29vxo8fz4EDBzhw4ACjR48mOjqa/fv3G3b5lFhkAK5cuYKbmxuenp7k5+eX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\nREREJO+oQBEREZG88/88NbXomTyvRAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xb847630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(9, 5))\n",
    "plt.plot(hist_data['close'], lw=1, label='Prices')\n",
    "plt.plot(hist_data['sma_30'], 'g', lw=1, label='30-day MA (green)')\n",
    "plt.plot(hist_data['BB_upper'], 'r', lw=1, label='BBands Upper (red)')\n",
    "plt.plot(hist_data['BB_lower'], 'b', lw=1, label='BBands Lower (blue)')\n",
    "plt.legend(loc=2, prop={'size': 11})\n",
    "plt.grid(True)\n",
    "plt.setp(plt.gca().get_xticklabels(), rotation=30)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 动量指标"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               open    close     high      low       volume   code  sma_30  \\\n",
      "date                                                                         \n",
      "2017-01-03  3313.95  3342.23  3345.26  3313.95   86567896.0  hs300     NaN   \n",
      "2017-01-04  3340.56  3368.31  3369.57  3338.15   90050827.0  hs300     NaN   \n",
      "2017-01-05  3368.34  3367.79  3373.41  3361.46   88336357.0  hs300     NaN   \n",
      "2017-01-06  3366.85  3347.67  3368.87  3346.89   87459114.0  hs300     NaN   \n",
      "2017-01-09  3345.75  3363.90  3366.22  3344.35   83707942.0  hs300     NaN   \n",
      "2017-01-10  3361.64  3358.27  3370.51  3354.09   83819160.0  hs300     NaN   \n",
      "2017-01-11  3355.80  3334.50  3366.63  3334.30   91071438.0  hs300     NaN   \n",
      "2017-01-12  3332.69  3317.62  3343.13  3315.96   81239135.0  hs300     NaN   \n",
      "2017-01-13  3317.96  3319.91  3338.17  3309.37   84180589.0  hs300     NaN   \n",
      "2017-01-16  3314.15  3319.45  3322.78  3264.21  157779135.0  hs300     NaN   \n",
      "\n",
      "              sma_10  BB_upper  BB_middle  BB_lower    mtm  \n",
      "date                                                        \n",
      "2017-01-03       NaN       NaN        NaN       NaN    NaN  \n",
      "2017-01-04       NaN       NaN        NaN       NaN    NaN  \n",
      "2017-01-05       NaN       NaN        NaN       NaN    NaN  \n",
      "2017-01-06       NaN       NaN        NaN       NaN    NaN  \n",
      "2017-01-09       NaN       NaN        NaN       NaN    NaN  \n",
      "2017-01-10       NaN       NaN        NaN       NaN  16.04  \n",
      "2017-01-11       NaN       NaN        NaN       NaN -33.81  \n",
      "2017-01-12       NaN       NaN        NaN       NaN -50.17  \n",
      "2017-01-13       NaN       NaN        NaN       NaN -27.76  \n",
      "2017-01-16  3343.965       NaN        NaN       NaN -44.45  \n"
     ]
    }
   ],
   "source": [
    "hist_data['mtm'] = talib.MOM(hist_data['close'].values, timeperiod=5)\n",
    "print(hist_data.head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 其余指标请参考: \n",
    "https://github.com/mrjbq7/ta-lib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
